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Determinants of Crop Choices by Bangladeshi Farmers: A Bivariate Probit Analysis

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  • Rahman, Sanzidur

Abstract

Using a bivariate probit model, the study jointly determines the factors underlying the probability of Bangladeshi farmers adopting a diversified cropping system and/or modern rice technology. Results reveal that the availability of irrigation is the single most important determinant of the decision to adopt modern rice technology, and adoption is higher among the tenant farmers. The exact opposite is true for the likelihood of adopting a diversified cropping system, which is significantly higher in areas with no irrigation as well as among the owner- operators. Furthermore, the diversified cropping system has a significantly higher rate of adoption in regions with developed infrastructure. Farmers’ education, farming experience, farm asset ownership, and non-agricultural income all positively influence crop diversification. Also, small farmers are more likely to adopt a diversified cropping system. Significant regional variation exists in the level of crop diversification as well. The decision to adopt a diversified cropping system and/or modern rice technology is significantly correlated, implying that a univariate analysis of such decision is biased. Crop diversification can be promoted by investing in farmers’ education as well as rural infrastructure development. Also, land reform policies focusing on delegating land ownership to landless and marginal farmers, and tenurial reforms are noteworthy.

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  • Rahman, Sanzidur, 2008. "Determinants of Crop Choices by Bangladeshi Farmers: A Bivariate Probit Analysis," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 5(01), pages 1-13, June.
    • Handle: RePEc:ags:phajad:198978
    DOI: 10.22004/ag.econ.198978
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    1. Katia Alejandra Covarrubias, 2015. "The role of crop diversity in household production and food security in Uganda: A gender-differentiated analysis," FOODSECURE Working papers 32, LEI Wageningen UR.
    2. Siddique, S.T. & Kamruzzaman, M. & Sharna, S.C., 2020. "Comparative analysis of chickpea with boro rice in drought-prone areas of Bangladesh," International Journal of Agricultural Research, Innovation and Technology (IJARIT), IJARIT Research Foundation, vol. 10(2), December.
    3. Godfrey Mutale & Thomson Kalinda & Elias Kuntashula, 2017. "Factors Affecting the Joint Adoption of Herbicides and Conservation Tillage Technologies among Smallholder Farmers in Zambia," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 9(12), pages 205-205, November.
    4. repec:uii:journl:v:4:y:2012:i:1:p:15-24 is not listed on IDEAS
    5. Singh, Gurpreet & Gandhi, Vasant P. & Jain, Dinesh, 2024. "Micro-irrigation adoption and the Jevons’ Paradox: A study from four states of India," Agricultural Water Management, Elsevier, vol. 303(C).
    6. Rahman, Sanzidur & Daniel Chima, Chidiebere, 2015. "Determinants of modern technology adoption in multiple food crops in Nigeria: a multivariate probit approach," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(3), April.
    7. Saripalle, Madhuri & Subramanian, Vijaya C., 2022. "Production, Prices and Supply Chain disruption among farmers during Covid-19: Empirical Evidence from India," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322395, Agricultural and Applied Economics Association.
    8. Kotchikpa Gabriel Lawin & Lota Tamini, 2019. "Determinants of Crop Diversification in Burkina Faso - What is the Impact of Risk Preference?," CIRANO Working Papers 2019s-07, CIRANO.
    9. Alessandro De Pinto & Greg Seymour & Elizabeth Bryan & Prapti Bhandari, 2020. "Women’s empowerment and farmland allocations in Bangladesh: evidence of a possible pathway to crop diversification," Climatic Change, Springer, vol. 163(2), pages 1025-1043, November.
    10. Abdul Razak Baba & Abdul-Malik Abdulai, 2021. "Determinants of Crop Diversification and Its Effects on Household Food Security in Northern Ghana," Arthaniti: Journal of Economic Theory and Practice, , vol. 20(2), pages 227-245, December.
    11. Sanzidur Rahman & Chidiebere Daniel Chima, 2016. "Determinants of Food Crop Diversity and Profitability in Southeastern Nigeria: A Multivariate Tobit Approach," Agriculture, MDPI, vol. 6(2), pages 1-14, April.
    12. Lawin, Kotchikpa G. & Tamini, Lota D., 2017. "Risk preferences and crop diversification amongst smallholder farmers in Burkina Faso," Annual Meeting, 2017, June 18-21, Montreal, Canada 258058, Canadian Agricultural Economics Society.
    13. Shiwei Liu & Pingyu Zhang & Ben Marley & Wenxin Liu, 2019. "The Factors Affecting Farmers’ Soybean Planting Behavior in Heilongjiang Province, China," Agriculture, MDPI, vol. 9(9), pages 1-13, September.
    14. Mst. Asma Khatun & Farjana Misu & Mohammad Amirul Islam & Sheikh Mohammad Sayem, 2022. "Relationship between Poverty and Food Security: Empirical Evidence from the Enclave Area of Rural Bangladesh," Indian Journal of Human Development, , vol. 16(3), pages 448-467, December.
    15. Elumalai Kannan & K. B. Ramappa, 2017. "Analysis of farm-level adoption of soil nutrient management technology by paddy farmers in Karnataka, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2317-2331, December.
    16. Sato, Azusa, 2012. "Does socio-economic status explain use of modern and traditional health care services?," Social Science & Medicine, Elsevier, vol. 75(8), pages 1450-1459.

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